“Differences in Virtual and Physical Head Pose” Predict Cybersickness When Naturalistic Head-Movements are Made in VR
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
When we move during virtual reality (VR) display lag produces Differences in our Virtual and Physical head pose (DVP). Research suggests that DVP can be used to predict cybersickness during head-mounted display (HMD) based VR. However, these studies always had participants make unusual (continuous oscillatory) head-movements. This study examined whether DVP also predicts cybersickness during more typical VR conditions. After assessing their susceptibility to real-world motion sickness (using the MSSQ-Revised), 67 participants repeatedly moved their heads to “target” objects that appeared inside a virtual room (under different experimentally imposed display lags). We found that cybersickness was more likely and severe when: (1) participants had higher MSSQ scores; (2) the spatial magnitudes and the detrended fluctuation analysis α values of their DVP increased. Based on these findings we believe that real-time estimates of the DVP could be used to warn users about the imminent onset of sickness during consumer HMD VR.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it